Haresh Devalia

23 papers receiving 380 citations

Peers

Haresh Devalia
Comparison fields: 5 of 50
  • Cancer Research 145
  • Pathology and Forensic Medicine 97
  • Surgery 137
  • Dermatology 18
  • Obstetrics and Gynecology 13
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Jean-Marc Cohen United States
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Remmert K. Storm Netherlands
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Füsun Taşkın Türkiye
J.R. García-Talavera Fernández Italy
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Citations per year

Countries citing papers authored by Haresh Devalia

Since Specialization
Citations

This map shows the geographic impact of Haresh Devalia's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Haresh Devalia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haresh Devalia more than expected).

Fields of papers citing papers by Haresh Devalia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Haresh Devalia. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Haresh Devalia. The network helps show where Haresh Devalia may publish in the future.

Co-authors

The 25 scholars most cited alongside Haresh Devalia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Haresh Devalia Line = papers co-authored together Haresh Devalia links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201371
2 200862
3 200758
4 201536
5 200921
6 200917
7 201216
8 200715
9 200615
10 201113
11 201112
12 20119
13 20079
14 20139
15 20139
16
HTERT mRNA expression correlates with matrix metalloproteinase-1 and vascular endothelial growth factor expression in human breast cancer: a correlative study using RT-PCR.
20078
17 20155
18 20082
19
INVASIVE LOBULAR CARCINOMA: THE CONCORDANCE OF PATHOLOGIC TUMOR SIZE WITH MAGNETIC RESONANCE IMAGING
20122
20
A recurrent swelling of the scalp.
20072

About Haresh Devalia

Haresh Devalia is a scholar working on Surgery, Pathology and Forensic Medicine, Cancer Research, Dermatology and Radiology, Nuclear Medicine and Imaging, having authored 26 papers that have together received 397 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (6 papers), Breast Lesions and Carcinomas (6 papers), Cancer and Skin Lesions (4 papers), Breast Implant and Reconstruction (4 papers), Reconstructive Surgery and Microvascular Techniques (4 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Sarcoma Diagnosis and Treatment (1 paper) and Endometriosis Research and Treatment (1 paper). The work is most often cited by research in Cancer Research (145 citations), Pathology and Forensic Medicine (97 citations), Surgery (137 citations), Dermatology (18 citations) and Obstetrics and Gynecology (13 citations). Haresh Devalia has collaborated with scholars based in United Kingdom, Türkiye and Germany. Frequent co-authors include David E. Fish, Ali Sever, Kefah Mokbel, Neill Patani, Karina Cox, Peter A. Jones, G T Layer, P. Mills, J. Weeks and Hatice Gümüş. Their work appears in journals such as European Journal of Surgical Oncology, The Surgeon, Annals of The Royal College of Surgeons of England, International Wound Journal and Clinical Radiology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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